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About the Role

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior technical leader, you will leverage deep technical specialization, strategic vision, comprehensive business acumen, and exceptional stakeholder communication skills to deliver impactful AI-driven solutions. This is a "hand-on" role overseeing one or more AI solution work streams, driving continuous adaptation to emerging technologies, ensuring rigorous quality standards, and fostering a culture of continuous improvement and innovation.

Responsibilities

Provide strategic and technical leadership across multiple AI solution delivery teams
Architect and oversee the delivery of comprehensive AI solutions, emphasizing full-stack development, including integration of Large Language Models (LLMs) and orchestrated applications
Manage and own the full lifecycle of AI models and solutions, from development through deployment, monitoring, maintenance, and iterative enhancement
Direct experiment-driven development, ensuring rapid prototyping, testing, validation, and operational excellence
Establish and drive consistent quality control and continuous improvement of AI solutions, closely collaborating with business stakeholders to align solutions with strategic objectives
Develop and maintain robust stakeholder relationships, clearly communicating complex solutions and strategic implications to senior business leaders
Promote technical innovation, process improvement, and effective methodologies across teams
Continuously evaluate and drive adoption of emerging technologies to enhance solution capabilities and maintain competitive advantage

Requirements

Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field
Minimum of 10 years of experience, including substantial experience in a senior technical leadership role managing multiple multidisciplinary teams
Up to 20% travel required

Skills

Python
Pandas
Scikit-learn
PyTorch
Langchain
Semantic Kernel
SQL
Vector DBs
LLMs
Prompt engineering
AWS
Azure
Google Cloud Platform
Agile methodologies
Continuous integration/continuous deployment (CI/CD)
Git version control
Unit testing
Integration testing
End-to-end testing
Executive-level communication skills
Analytical capabilities
Decision-making capabilities
Problem-solving capabilities

Location

Remote

Work Type

Full-time

Experience Level

Director
Senior technical leadership

Education Level

Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field
Advanced degree preferred

Salary/Compensations

$122,500 - $423,780
For residents of Washington state the salary range for this position is: $122,500 - $504,500

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

About the Company

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.
Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.
At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members.
We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.